Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Proteomics01:33

Proteomics

9.1K
A proteome is the entire set of proteins that a cell type produces. We can study proteomes using the knowledge of genomes because genes code for mRNAs, and the mRNAs encode proteins. Although mRNA analysis is a step in the right direction, not all mRNAs are translated into proteins.
Proteomics is the study of proteomes' function. It involves the large-scale systematic study of the proteome to denote the protein complement expressed by a genome. Scientist Mark Wilkins coined the term...
9.1K
Protein Networks02:26

Protein Networks

4.4K
An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
4.4K
Protein Networks02:26

Protein Networks

2.7K
2.7K
Ribosome Profiling02:24

Ribosome Profiling

4.0K
Ribosome profiling or ribo-sequencing is a deep sequencing technique that produces a snapshot of active translation in a cell. It selectively sequences the mRNAs protected by ribosomes to get an insight into a cell’s translation landscape at any given point in time.
Applications of ribosome profiling
Ribosome profiling has many applications, including in vivo monitoring of translation inside a particular organ or tissue type and quantifying new protein synthesis levels.
The technique...
4.0K
DNA Microarrays02:34

DNA Microarrays

20.2K
Microarrays are high-throughput and relatively inexpensive assays that can be automated to analyze large quantities of data at a time. They are used in genome-wide studies to compare gene or protein expression under two varied conditions, such as healthy and diseased states. Microarrays consist of glass or silica slides on which probe molecules are covalently attached through surface functionalization. Most commonly, the slides are prepared through the chemisorption of silanes to silica...
20.2K
Genomics02:02

Genomics

39.3K
Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
39.3K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Towards globally equitable bioinformatics adoption.

PLoS biology·2026
Same author

TFEB Antagonizes Cardiac Hypertrophy and Failure by Enhancing Lysosomal Capacity and Mitochondrial Function.

Circulation research·2026
Same author

SiteCELL enables <i>on-site</i> PBMCs purification and cryopreservation for immune single-cell profiling of underrepresented ancestries.

iScience·2026
Same author

Improving textural realism in breast phantom images.

Medical physics·2026
Same author

The Single Cell Notebooks for inclusive and accessible training in single-cell and spatial omics.

Nature genetics·2026
Same author

Transcription-based comparison of <i>Aggregatibacter actinomycetemcomitans</i> or <i>Porphyromonas gingivalis</i>-induced experimental periodontitis.

Microbiology spectrum·2026
Same journal

Modulation of brain-kidney crosstalk by olanzapine in aluminum chloride-induced memory impairment: a preclinical investigation.

BMC research notes·2026
Same journal

Tagged and untagged amyloid precursor protein E2 domain have comparable thermal stability and metal-ion binding propensity.

BMC research notes·2026
Same journal

Phenotypical and functional characterization of a HepG2 cell clone stably overexpressing cytochrome P450 (CYP) 2C9.

BMC research notes·2026
Same journal

Inefficacy of a novel osmotic associative learning assay in C. elegans.

BMC research notes·2026
Same journal

Anticancer proteasome inhibitors are detrimental to the growth of Toxoplasma gondii in vitro.

BMC research notes·2026
Same journal

Body mass index, nutritional knowledge, and eating attitudes in dancer and non-dancer students.

BMC research notes·2026
See all related articles

Related Experiment Video

Updated: Dec 14, 2025

Analyzing Tumor Gene Expression Factors with the CorExplorer Web Portal
08:00

Analyzing Tumor Gene Expression Factors with the CorExplorer Web Portal

Published on: October 11, 2019

7.8K

CORAZON: a web server for data normalization and unsupervised clustering based on expression profiles.

Thaís A R Ramos1,2, Vinicius Maracaja-Coutinho3,4,5, J Miguel Ortega6

  • 1Programa de Pós-Graduação em Bioinformática, Bioinformatics Multidisciplinary Environment (BioME), Instituto Metrópole Digital, Universidade Federal do Rio Grande do Norte, Natal, Brazil.

BMC Research Notes
|July 16, 2020
PubMed
Summary
This summary is machine-generated.

We created CORAZON, a free online tool for gene expression analysis. It simplifies data normalization and clustering, offering insights into coding and non-coding RNA functions with high accuracy.

Keywords:
ClusteringExpression profilingGene expressionMachine learningNon-coding RNAsNormalizationTranscriptome analysisWeb server

More Related Videos

Analyzing Multifactorial RNA-Seq Experiments with DiCoExpress
05:22

Analyzing Multifactorial RNA-Seq Experiments with DiCoExpress

Published on: July 29, 2022

3.9K
An Integrated Approach for Microprotein Identification and Sequence Analysis
09:37

An Integrated Approach for Microprotein Identification and Sequence Analysis

Published on: July 12, 2022

3.8K

Related Experiment Videos

Last Updated: Dec 14, 2025

Analyzing Tumor Gene Expression Factors with the CorExplorer Web Portal
08:00

Analyzing Tumor Gene Expression Factors with the CorExplorer Web Portal

Published on: October 11, 2019

7.8K
Analyzing Multifactorial RNA-Seq Experiments with DiCoExpress
05:22

Analyzing Multifactorial RNA-Seq Experiments with DiCoExpress

Published on: July 29, 2022

3.9K
An Integrated Approach for Microprotein Identification and Sequence Analysis
09:37

An Integrated Approach for Microprotein Identification and Sequence Analysis

Published on: July 12, 2022

3.8K

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • Gene expression data normalization and clustering are essential for downstream analysis.
  • Accessible, user-friendly tools for these methods are limited, posing a challenge for researchers with less computational expertise.

Purpose of the Study:

  • To develop a free, web-based tool named CORAZON (Correlations Analyses Zipper Online) for gene expression data normalization and clustering.
  • To provide an intuitive platform that integrates multiple normalization and unsupervised learning methods.

Main Methods:

  • Implementation of three unsupervised learning algorithms for clustering gene expression datasets.
  • Integration of eight gene expression normalization/transformation methods, adaptable for RNA-seq, microarray, and NanoString data.
  • Evaluation of clustering performance using five models, achieving accuracies between 92% and 100%.

Main Results:

  • CORAZON successfully clustered gene expression data, differentiating functional insights between coding and non-coding RNAs.
  • Coding gene clusters were enriched in Cellular, Metabolic, Transport, and Systems Development categories.
  • Non-coding RNA clusters showed enrichment in Sensory Perception, Immunological System, Detection of Stimulus, and Digestion categories.

Conclusions:

  • CORAZON offers a user-friendly and accurate solution for gene expression data analysis, democratizing access to advanced bioinformatics tools.
  • The tool facilitates functional interpretation of non-coding RNAs, highlighting their distinct biological roles.
  • The source code and web server are freely available, promoting wider adoption and research collaboration.